A Comparison of Low Read Depth QuantSeq 3' Sequencing to Total RNA-Seq in FUS Mutant Mice.

ALS Fused in sarcoma QuantSeq RNA RNA-Seq bioinformatics

Journal

Frontiers in genetics
ISSN: 1664-8021
Titre abrégé: Front Genet
Pays: Switzerland
ID NLM: 101560621

Informations de publication

Date de publication:
2020
Historique:
received: 15 05 2020
accepted: 19 10 2020
entrez: 17 12 2020
pubmed: 18 12 2020
medline: 18 12 2020
Statut: epublish

Résumé

Transcriptomics is a developing field with new methods of analysis being produced which may hold advantages in price, accuracy, or information output. QuantSeq is a form of 3' sequencing produced by Lexogen which aims to obtain similar gene-expression information to RNA-seq with significantly fewer reads, and therefore at a lower cost. QuantSeq is also able to provide information on differential polyadenylation. We applied both QuantSeq at low read depth and total RNA-seq to the same two sets of mouse spinal cord RNAs, each comprised by four controls and four mutants related to the neurodegenerative disease amyotrophic lateral sclerosis. We found substantial differences in which genes were found to be significantly differentially expressed by the two methods. Some of this difference likely due to the difference in number of reads between our QuantSeq and RNA-seq data. Other sources of difference can be explained by the differences in the way the two methods handle genes with different primary transcript lengths and how likely each method is to find a gene to be differentially expressed at different levels of overall gene expression. This work highlights how different methods aiming to assess expression difference can lead to different results.

Identifiants

pubmed: 33329699
doi: 10.3389/fgene.2020.562445
pmc: PMC7717943
doi:

Types de publication

Journal Article

Langues

eng

Pagination

562445

Subventions

Organisme : Motor Neurone Disease Association
ID : FRATTA/JAN15/946-795
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/M008606/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/S006508/1
Pays : United Kingdom
Organisme : Motor Neurone Disease Association
ID : PLAGNOL/OCT15/885-792
Pays : United Kingdom

Informations de copyright

Copyright © 2020 Jarvis, Birsa, Secrier, Fratta and Plagnol.

Références

Bioinformatics. 2015 Jan 15;31(2):166-9
pubmed: 25260700
Neurology. 1955 Apr;5(4):249-68
pubmed: 14370376
Int J Mol Sci. 2020 Mar 31;21(7):
pubmed: 32244295
Brain. 2017 Nov 1;140(11):2797-2805
pubmed: 29053787
Nucleic Acids Res. 2015 Apr 20;43(7):e47
pubmed: 25605792
Neurol Clin. 2015 Nov;33(4):807-30
pubmed: 26515623
Semin Cell Dev Biol. 2020 Mar;99:193-201
pubmed: 31132467
EMBO J. 2016 May 17;35(10):1077-97
pubmed: 26951610
Sci Rep. 2012;2:529
pubmed: 22829983
Nucleic Acids Res. 2020 Jul 9;48(12):6889-6905
pubmed: 32479602
Nucleic Acids Res. 2020 Feb 28;48(4):2050-2072
pubmed: 31943105
Science. 2009 Feb 27;323(5918):1208-1211
pubmed: 19251628
BMC Bioinformatics. 2016 Jan 20;17:45
pubmed: 26791995
Int J Mol Sci. 2017 Feb 10;18(2):
pubmed: 28208618
Genes Dev. 2015 Aug 15;29(16):1696-706
pubmed: 26251528
Genome Biol. 2014;15(12):550
pubmed: 25516281
Science. 2009 Feb 27;323(5918):1205-8
pubmed: 19251627
BMC Genomics. 2019 Jan 7;20(1):9
pubmed: 30616562
Viruses. 2020 Mar 17;12(3):
pubmed: 32192194
Bioinformatics. 2013 Jan 1;29(1):15-21
pubmed: 23104886
Sci Rep. 2019 Dec 11;9(1):18895
pubmed: 31827207
Nature. 2016 Nov 10;539(7628):197-206
pubmed: 27830784
Cell Rep. 2017 May 2;19(5):1056-1067
pubmed: 28467899
Genome Res. 2016 Aug;26(8):1145-59
pubmed: 27382025

Auteurs

Seth Jarvis (S)

UCL Queen Square Institute of Neurology, London, United Kingdom.
UCL Genetics Institute, London, United Kingdom.

Nicol Birsa (N)

UCL Queen Square Institute of Neurology, London, United Kingdom.
UK Dementia Research Institute, University College London, London, United Kingdom.

Maria Secrier (M)

UCL Genetics Institute, London, United Kingdom.

Pietro Fratta (P)

UCL Queen Square Institute of Neurology, London, United Kingdom.

Vincent Plagnol (V)

UCL Genetics Institute, London, United Kingdom.

Classifications MeSH